pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
dingodb/dingo
DingoDB is an open-source, distributed multi-modal vector database designed for high-performance AI applications. It uniquely integrates real-time strong consistency, relational semantics, and vector semantics into a unified platform, offering a comprehensive solution for managing diverse data types. The database provides exceptional horizontal scalability and elastic scaling capabilities, meeting enterprise-grade high availability requirements. Key features include comprehensive access interfaces supporting SQL, SDK, and API, with 'Table' and 'Vector' as first-class citizen data models. It boasts built-in data high availability, eliminating the need for external components, and supports fully automatic elastic data sharding for efficient resource allocation and business expansion. DingoDB excels in scalar-vector hybrid retrieval, combining traditional database index types with various vector index types, and supports distributed transaction processing. It offers real-time index optimization and 'cold-hot' tiered retrieval for massive datasets, minimizing memory consumption through disk-based vector search. The project is sponsored by DataCanvas and is Apache License Version 2.0.
https://github.com/dingodb/dingo
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